Publikacje

1. K. Piniarski, P. Pawłowski, “Detekcja pieszych i rozpoznawanie twarzy w obrazach termowizyjnych”,” XVI Krajowa Konferencja Elektroniki, Darłowo, , KKE, Darłowo, 05-06, pp. 436-441, 2017.
xxx, xxx Bibtex

2. K. Piniarski, P. Pawłowski, “Efficient pedestrian detection with enhanced object segmentation in far IR night vision,,” 21th IEEE International Conference on Signal Processing Algorithms, Architectures, Arrangenements and Applications (SPA'2017), IEEE, Poznan. Poland, 20-22 , pp. 160-165, 2017.
xxx, xxx Bibtex

3. K. Piniarski, P. Pawłowski, “Detekcja i identyfikacja pieszych w obrazach termowizyjnych,” Elektronika : konstrukcje, technologie, zastosowania, vol. 2017/10, no. 10, 2017.
xxx, xxx Bibtex

4. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Pedestrian detection for automotive night vision,” Proc. of the Annual Evaluation Workshop of the thematic Network on Dependable Cyber Physical Systems (DCPS), Cottbus, Niemcy, 2015, 25, pp. 64-69, 2016.
night vision, video processing, object detection, classifier, automotive, image segmentation Bibtex

5. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Performance of object classiication or detection of pedestrians,” Final Evaluation Workshop of the thematic Network on Dependable Cyber Physical Systems DCPS, Cottbus, Germany, November 25th, 2016, 25, pp. 30-34, 2016.
night vision, video processing, object detection, multi-branch classifier, pedestrians, Adaboost classifier, histogram of orinted gradients Bibtex

6. A. Konieczka, K. Piniarski, J. Balcerek, “HDR tonal mapping algorithm for mobile devices,” IEEE SPA 2016, Signal Processing Algorithms, Architectures, Arrangements and Applications, 21-23 września 2016, Poznań, 21-23, pp. 243-247, 2016.
HDR, tonal mapping, mobile device, image processing, threat recognition Bibtex

7. K. Piniarski, P. Pawłowski, “Multi-branch classifiers for pedestrian detection from infrared night an day images,” IEEE SPA 2016, Signal Processing Algorithms, Architectures, Arrangements and Applications, 21-23 września 2016, Poznań, 21-23, pp. 248-253, 2016.
night vision, video processing, object detection, multi-branch classifier, pedestrians, Adaboost classifier, histogram of oriented gradiens Bibtex

8. J. Balcerek, K. Piniarski, A. Konieczka, P. Pawłowski, A. Dąbrowski, “Embedded mobile systems to assist road users in urban environments,” Elektronika : konstrukcje, technologie, zastosowania, no. 4, DOI: 10.15199/13.2016.4.2, pp. 7-13, 2016.
assistive system for drivers and pedestrians, mobile device, smartphone, video processing, embedded system Bibtex

9. J. Balcerek, K. Piniarski, M. Urbanek, K. Szałecki, A. Konieczka, “Mobile applications for driver and pedestrian assistance,” IEEE International Conference on Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA 2015), Poznań, 23-25 września 2015, pp. 197-202, 2015.
driver assistance systems, pedestrian assistance systems, vision systems, video processing Bibtex PDF

10. P. Pawłowski, K. Piniarski, A. Dąbrowski, “Pedestrian Detection in Low Resolution Night Vision Images,” IEEE International Conference on Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA 2015), Poznań, 23-25 września 2015, pp. 185-190, 2015.
night vision, video processing, object detection, classifier, pedestrian, low resolution, support vector machine, histogram of oriented gradients Bibtex PDF

11. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Pedestrian detection for automotive night vision,” Proc. of the Annual Evaluation Workshop of the thematic Network on Dependable Cyber Physical Systems (DCPS), Cottbus, Niemcy, 27 listopada 2015, pp. 64-69, 2015.
Bibtex

12. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Video Processing Algorithms for Detection of Pedestrians,” Computational Methods in Science and Technology, vol. 21, pp. 141-150, 2015.
video processing, night vision, object detection, classification of pedestrians, automotive systems Bibtex PDF

13. J. Balcerek, A. Konieczka, K. Piniarski, K. Maćkowiak, T. Marciniak, A. Dąbrowski, “Automatyczne systemy wizyjne usprawniające ruch drogowy i zwiększające bezpieczeństwo,” Elektronika : konstrukcje technologie zastosowania, no. 4, pp. 7-13, 2015.
test Bibtex PDF

14. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Pedestrian Detection by Video Processing in Automotive Night Vision System,” IEEE SPA 2014, Signal Processing Algorithms, Architectures, Arrangements and Applications, 22-24 września 2014, Poznań, 22-24.09.2014, pp. 104-109, 2014.
night vision, video processing, object detection, classifier, automotive Bibtex